NURS 5366 CORRECT TEST PAPER QUESTIONS
AND ANSWERS SET A+
✔✔Negatively Skewed - ✔✔the largest portion of data is above the mean
✔✔Z-score - ✔✔standardized measure that indicates how many standard deviations
value is from the mean value
✔✔Content Validity - ✔✔When the instrument used is designed to accurately measure
the concepts under study
✔✔Chapter 4 - ✔✔EVALULATING YOUR MEASURING TOOL
✔✔convergent validity - ✔✔When the results obtained are similar to the results obtained
with another previously validated test that measures the same thing
✔✔Correlation Coefficient - ✔✔A test value used to determine how closely one
measurement is related to a second measurement
✔✔Divergent Validity - ✔✔When the measurement of the opposite variable of a
previously validated measurement yields the opposite result
✔✔Efficiency (EFF) - ✔✔measures the probability of agreement between the screening
test and the actual clinical diagnosis
✔✔Equivalence - ✔✔How well multiple forms or multiple users of an instrument produce
the same results
✔✔Feasible - ✔✔Possible from a practical standpoint
✔✔Homogeneity - ✔✔The extent to which items on a multi-item instrument are
consistent with one another
, ✔✔Internal consistency reliability - ✔✔homogeneity of the measurement instrument
✔✔Inter-rater reliability - ✔✔When you compare the measurements obtained by two
different data collectors to make sure they are similar
✔✔Negative predictive value - ✔✔if the subject tests negative for a disease, the
probability that the subject really doesn't have the dz
✔✔Positive predictive value (PPV) - ✔✔If a subject tests positive for a dz, the
probability that the subject actually has the dz and that the result isn't a false positive.
✔✔Predictive validity - ✔✔when the instrument used accurately suggests future
outcomes to behaviors
✔✔Prevalence - ✔✔the amount of illness present in the population divided by the total
population
✔✔Reliability - ✔✔the consistency or repeatability of the measurement
✔✔Sensitivity - ✔✔if the patient has a dz, the probability of a positive test result for the
dz (the probability of a true positive)
✔✔Specificity - ✔✔the probability that a well subject will have a negative screen (no dz)
(the probability of a true negative)
✔✔Stability - ✔✔The consistent or enduring quality of the measure
✔✔Valid - ✔✔Accurate
✔✔Alpha (a) - ✔✔the chance of making a type one error
✔✔Beta (B) - ✔✔the chance of making a type two error
✔✔Chapter 7 - ✔✔SAMPLE SIZE, EFFECT SIZE, AND POWER
✔✔Effect size - ✔✔the extent to which a difference/relationship exist between variables
in a population (the size of the difference you are attempting to find)
- degree to which the phenomenon is present in the pop. or the degree to which the null
hypothessis is false
small effect size- require larger samples to detect these small differences
✔✔Power analysis - ✔✔how sample sizes are calculated
AND ANSWERS SET A+
✔✔Negatively Skewed - ✔✔the largest portion of data is above the mean
✔✔Z-score - ✔✔standardized measure that indicates how many standard deviations
value is from the mean value
✔✔Content Validity - ✔✔When the instrument used is designed to accurately measure
the concepts under study
✔✔Chapter 4 - ✔✔EVALULATING YOUR MEASURING TOOL
✔✔convergent validity - ✔✔When the results obtained are similar to the results obtained
with another previously validated test that measures the same thing
✔✔Correlation Coefficient - ✔✔A test value used to determine how closely one
measurement is related to a second measurement
✔✔Divergent Validity - ✔✔When the measurement of the opposite variable of a
previously validated measurement yields the opposite result
✔✔Efficiency (EFF) - ✔✔measures the probability of agreement between the screening
test and the actual clinical diagnosis
✔✔Equivalence - ✔✔How well multiple forms or multiple users of an instrument produce
the same results
✔✔Feasible - ✔✔Possible from a practical standpoint
✔✔Homogeneity - ✔✔The extent to which items on a multi-item instrument are
consistent with one another
, ✔✔Internal consistency reliability - ✔✔homogeneity of the measurement instrument
✔✔Inter-rater reliability - ✔✔When you compare the measurements obtained by two
different data collectors to make sure they are similar
✔✔Negative predictive value - ✔✔if the subject tests negative for a disease, the
probability that the subject really doesn't have the dz
✔✔Positive predictive value (PPV) - ✔✔If a subject tests positive for a dz, the
probability that the subject actually has the dz and that the result isn't a false positive.
✔✔Predictive validity - ✔✔when the instrument used accurately suggests future
outcomes to behaviors
✔✔Prevalence - ✔✔the amount of illness present in the population divided by the total
population
✔✔Reliability - ✔✔the consistency or repeatability of the measurement
✔✔Sensitivity - ✔✔if the patient has a dz, the probability of a positive test result for the
dz (the probability of a true positive)
✔✔Specificity - ✔✔the probability that a well subject will have a negative screen (no dz)
(the probability of a true negative)
✔✔Stability - ✔✔The consistent or enduring quality of the measure
✔✔Valid - ✔✔Accurate
✔✔Alpha (a) - ✔✔the chance of making a type one error
✔✔Beta (B) - ✔✔the chance of making a type two error
✔✔Chapter 7 - ✔✔SAMPLE SIZE, EFFECT SIZE, AND POWER
✔✔Effect size - ✔✔the extent to which a difference/relationship exist between variables
in a population (the size of the difference you are attempting to find)
- degree to which the phenomenon is present in the pop. or the degree to which the null
hypothessis is false
small effect size- require larger samples to detect these small differences
✔✔Power analysis - ✔✔how sample sizes are calculated
